by useprismnetwork
Gives a job too heavy for shared hardware its own GPU, then bills you the runtime
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Public preview available Nov 6, 2026
The job
Rents a dedicated GPU when a job cannot run on a shared machine, then returns the output and the settled onchain cost. For CUDA-only bugs, kernels that fail on specific GPUs, and private workloads that should not sit on shared hardware.
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Creator’s public description
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Your first step
I would like help with Testbench. My goal is: [describe your goal]. Ask me for the context you need, then suggest a first step I can review.
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